An algorithm for automatic detection of repeater F-waves and MUNE studies

Artug N. T., Sirin N. G., Akarsu E., BASLO M. B., ÖGE A. E.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, cilt.51, ss.264-276, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 51
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1016/j.bspc.2019.02.025
  • Dergi Adı: BIOMEDICAL SIGNAL PROCESSING AND CONTROL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.264-276
  • Anahtar Kelimeler: Electromyography, Repeater F-waves, MUNE, ALS, Automated F-response analysis, UNIT NUMBER ESTIMATION, THENAR MOTOR UNITS, LATENCY, DIAGNOSIS, SIZE, STIMULATION, GENERATION, PARAMETERS, PHYSIOLOGY, RESPONSES
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

The present study aims to develop an algorithm and software that automatically detects repeater F-waves which are very difficult to analyze when elicited as high number of recordings in motor unit number estimation studies. The main strategy of the study was to take the repeater F waves discriminated by the neurologist, from limited number of recordings, as the gold standard and to test the conformity of the results of the new automated method.